Unai Garciarena

23 papers A 2B 3Journal 10Unranked 8
YearRankTypeTitle / Venue / Authors
2024 B conf
Factorized models in neural architecture search: Impact on computational costs and performance.
IJCNN
Unai Garciarena, Alexander Mendiburu, Roberto Santana
2024 J jnl
Redefining Neural Architecture Search of Heterogeneous Multinetwork Models by Characterizing Variation Operators and Model Components.
IEEE Trans. Neural Networks Learn. Syst.
Unai Garciarena, Roberto Santana, Alexander Mendiburu
2023 — conf
Analyzing the interplay between transferable GANs and gradient optimizers.
GECCO Companion
Unai Garciarena, Roberto Santana, Alexander Mendiburu
2023 — conf
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification.
GECCO Companion
Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano
2023 J jnl
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification.
CoRR
Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano
2021 — conf
Adversarial Perturbations for Evolutionary Optimization.
LOD
Unai Garciarena, Jon Vadillo, Alexander Mendiburu, Roberto Santana
2021 J jnl
On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future.
CoRR
Unai Garciarena, Nuno Lourenço, Penousal Machado, Roberto Santana, Alexander Mendiburu
2021 — conf
On the exploitation of neuroevolutionary information.
GECCO Companion
Unai Garciarena, Nuno Lourenço, Penousal Machado, Roberto Santana, Alexander Mendiburu
2021 J jnl
Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components.
CoRR
Unai Garciarena, Roberto Santana, Alexander Mendiburu
2021 — conf
Semantic Technologies Towards Missing Values Imputation.
IEA/AIE (1)
Iker Esnaola-Gonzalez, Unai Garciarena, Jesús Bermúdez
2021 J jnl
Towards Automatic Construction of Multi-Network Models for Heterogeneous Multi-Task Learning.
ACM Trans. Knowl. Discov. Data
Unai Garciarena, Alexander Mendiburu, Roberto Santana
2020 J jnl
Analysis of the transferability and robustness of GANs evolved for Pareto set approximations.
Neural Networks
Unai Garciarena, Alexander Mendiburu, Roberto Santana
2020 — conf
Automatic Structural Search for Multi-task Learning VALPs.
OLA
Unai Garciarena, Alexander Mendiburu, Roberto Santana
2020 B conf
Envisioning the Benefits of Back-Drive in Evolutionary Algorithms.
CEC
Unai Garciarena, Alexander Mendiburu, Roberto Santana
2020 — conf
EvoFlow: A Python library for evolving deep neural network architectures in tensorflow.
SSCI
Unai Garciarena, Roberto Santana, Alexander Mendiburu
2019 J jnl
Towards automatic construction of multi-network models for heterogeneous multi-task learning.
CoRR
Unai Garciarena, Alexander Mendiburu, Roberto Santana
2018 B conf
Analysis of the Complexity of the Automatic Pipeline Generation Problem.
CEC
Unai Garciarena, Roberto Santana, Alexander Mendiburu
2018 A conf
Evolved GANs for generating pareto set approximations.
GECCO
Unai Garciarena, Roberto Santana, Alexander Mendiburu
2018 A conf
Expanding variational autoencoders for learning and exploiting latent representations in search distributions.
GECCO
Unai Garciarena, Roberto Santana, Alexander Mendiburu
2018 J jnl
Towards a more efficient representation of imputation operators in TPOT.
CoRR
Unai Garciarena, Alexander Mendiburu, Roberto Santana
2017 J jnl
An extensive analysis of the interaction between missing data types, imputation methods, and supervised classifiers.
Expert Syst. Appl.
Unai Garciarena, Roberto Santana
2017 J jnl
Evolving imputation strategies for missing data in classification problems with TPOT.
CoRR
Unai Garciarena, Roberto Santana, Alexander Mendiburu
2016 — conf
Evolutionary Optimization of Compiler Flag Selection by Learning and Exploiting Flags Interactions.
GECCO (Companion)
Unai Garciarena, Roberto Santana